CLUSTER SPENDING-BANK-STATEMENTS · 15 ENTRIES · EARLIEST ENTRY 2025-08-06
Bank statement spending analyzers
This cluster consists of web and desktop apps that import bank or credit card statements (via CSV, upload, or scan), extract and categorize transactions, and present spending insights, dashboards, and sometimes AI-based explanations. The dated history shows a thin but steady pattern from August 2025 to June 2026, with roughly one entry every two to three months. Among traction leaders, khaata stands out with 6 stars, while most other members have no star signal.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 3 ai-built · 12 unlabelled
Operator · 6 hobby · 2 indie · 1 commercial · 6 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 15 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01hamster-ledger0★11 days—hobbyLocal-first expense tracker that imports bank and payment statements, deduplicates transactions, and visualizes income and spending in the browser.
- 02phonepe-analyser0★18 days—hobbyWeb app that imports PhonePe transaction statements and visualizes spending, categories, counterparties, and recurring payment patterns.
- 03formulario-firebase0★12 days—hobbyWeb form that records user deposits with name, email, and value into a cloud database and displays success or error feedback.
- 04KH-HCM0★27 days—commercialWeb app that tracks company bank account balances and transactions, supports bulk pasting from statements, and exports summary reports.
- 05shellhacks-2026-cashlapse0★17 dayslivehobbyApp that analyzes uploaded bank statements to produce inflation-adjusted profit-and-loss reports on past spending.
- 06bank-statement-analyzer-0★1 moliveWeb application that lets users upload bank statements and get a clean summary of their spending, income, and transactions.
- 07finance_app0★1 mo—hobbyWeb application that cleans and normalizes raw bank transaction exports and presents personal financial insights through dashboards, charts, and transaction management tools.
- 08Personal_Finance_Tracker0★1 mo—hobbyWeb app that imports bank statement CSV files, categorizes transactions, and visualizes income and expenses on a dashboard.
- 09extraction_tool0★2 moliveWeb application that extracts transaction and merchant data from uploaded files and summarizes overtime expenses.
- 10spendly-expense-tracker1★3 moliveWeb app that turns uploaded bank statements into categorized transactions and plain-English spending insights so people understand where their money goes.
- 11FinGlow0★8 mostaleliveai-builtindieWeb app that analyzes bank statements to score financial health, flag wasteful spending, and suggest budgeting improvements for personal finances.
- 12statement-scan-scribe0★11 mostale—ai-builtWeb app that scans bank or financial statements and extracts transaction data for review.
- 13expense_tracker_app0★1 yrabandonedliveindieWeb app that reads uploaded bank transaction statements and shows spending totals, top transactions, and spending pattern insights.
- 14Vermogenstracker0★unknownliveWeb app that gives users insight into their bank accounts, transactions, and total assets.
- 15Bank Statement Tracker0★unknownliveai-builtWeb application that imports and organizes bank statements, helping users track transactions and monitor personal spending over time.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.